Jan Kiewiet de Jonge

5/5 (3)

Artificial intelligence is everywhere. It can be used in almost any sector, with dozens of use cases. And one of the most exciting sectors AI could have a huge impact on is health care. According to IBM and Deepminds Healthcare, AI has the capability to help in early stages to specify certain diagnose of patients in a very accurate way. Further use cases of AI would be in decision making processes, care delivery, chronic care management and self-care.

Solutions which are already being used are: AI replacing repetitive task. Think about administration of patients, which now still takes a lot of time from doctors and nurses. Having these repetitive tasks reduced gives the doctors more time to focus on what they were meant to be doing in the first place: be doctors.

A second use case, one which needs more development, studying, and especially data and data analysis is AI predictive health care. In this case through the use of Big Data analytics AI can predict in what state a patient is at, and with this data prevent patients in an early stage to develop into more severe cases. With this insight, health care will make a switch from taking care of ill people, to prevent people get severe illnesses in the first place. Preventing people from getting sick, will not only save huge amounts of time and energy, but also save millions in current hospital costs.

A third and final use case I would like to bring up is precision medicine. Through AI and data analysis doctors can use this tool to take better decisions in their evaluation process. Think of someone who has a fracture, more often than not doctors might miss a genuine fracture (false negative) or on the other hand, classify something as a fracture (false positive). Through AI this decision-making process can be automized. Doctors can still give their insights on certain situations. However, if AI gives a completely different analysis than what the doctor expects the doctor here has the advantage to get triggered to pay extra attention to this case.

These are just three of the use cases which can immensely help our health care system. There are dozens of other applications for AI in healthcare. Where do you think AI can contribute the most in our healthcare system and why?

https://www.computerweekly.com/news/252524829/The-challenges-of-verifying-AI-for-healthcare

5/5 (1) On the night of the 15th to the 16th of September the big event where the entire market was waiting for happened. What am I talking about? The merge update in the Ethereum network, which transformed the famous cryptotoken from a proof of work concept to a proof of stake concept.
The expectations for this event where huge, and the ETH fan base expected it’s price to go sky high, but what has happened until now? And what can we expect to happen?
Until now the price of ETH has been tumbling and is down 17,71% since the event happened.
ETH had big plans for the launch, and creator of the coin Vitalik Buterin spreaded videos of him explaining the merge. However, his explanation did not work out as he expected.
Vitalik explained the merge in the following way: “Proof of Work is based on the laws of physics, so you have to work with the world as it is… Whereas because Proof of Stake is virtualized in this way, it’s basically letting us create a simulated universe that has its own laws of physics.”
Investors in ETH worry about the feasibility of creating your own laws of physics. Further concerns developed after an on-chain analyses of the current ownership of the crypto token. Currently there are 13,7 million Ether staked, and 59,3% of these (8,13 million) are owned by just 4 providers. Adding to this that 45,18% of the validations performed on the blockchain since the roll-out of the merge have been performed by only 2 providers. These two taken together highly concern ETH supporters, since they can create a more centralized platform.
Another problem with staking your ETH is that it will hold your token for at least half a year. Seeing current prices, and knowing crypto’s high volatility, putting aside your tokens for half a year can be seen as quite a big risk.

Looking at the current market, it is obvious that ETH is being shorted by most investors. However, is this merge for the better? Will proof of stake indeed be the more sustainable alternative to proof of work, or will its flaws catch up with them?

After the merge: can ETH live up to its expectations?

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